Cherry Ann Quiroy

Key Skills

Software

Appen

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

OneForma

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Top Label Types

Audio Recording

Evaluation Rating

Segmentation

Text Summarization

Translation Localization

Freelancer Overview

With extensive experience in AI training data, text evaluation, and data annotation, I have worked on diverse projects that enhance machine learning models. At Voiceitt, I specialized in speech/audio annotation, ensuring high-quality training data for AI-driven speech recognition systems. At Deodhani Technologies, I contributed to AI data labeling, maintaining accuracy and consistency across various datasets. My role at RWS Group involved AI text evaluation and SRT Halo, where I assessed AI-generated text responses, improving NLP models and chatbot accuracy. My expertise includes quality assurance (QA), data accuracy verification, and AI model evaluation. I am skilled in using various annotation platforms and have a keen eye for detail, ensuring that datasets meet the highest industry standards. With a strong foundation in AI training, linguistic evaluation, and content moderation, I bring a results-driven approach to refining AI systems across multiple industries.

Labeling Experience

AI Data Labeling & Quality Assurance/Speech & Audio Annotation

OtherAudioText GenerationAction Recognition

As a Data Annotator at Voiceitt, I contributed to training AI-powered speech recognition models by transcribing and labeling speech/audio data. The project aimed to enhance voice recognition technology, particularly for individuals with speech impairments, ensuring AI models could understand diverse speech patterns, accents, and non-standard pronunciations. Annotating and transcribing speech data with high accuracy. My responsibilities includes: Labeling and categorizing different speech variations to improve AI adaptability. Performing quality assurance (QA) checks to ensure consistency and precision in annotations.Collaborating with AI teams to refine machine learning models for improved accessibility and usability.

As a Data Annotator at Voiceitt, I contributed to training AI-powered speech recognition models by transcribing and labeling speech/audio data. The project aimed to enhance voice recognition technology, particularly for individuals with speech impairments, ensuring AI models could understand diverse speech patterns, accents, and non-standard pronunciations. Annotating and transcribing speech data with high accuracy. My responsibilities includes: Labeling and categorizing different speech variations to improve AI adaptability. Performing quality assurance (QA) checks to ensure consistency and precision in annotations.Collaborating with AI teams to refine machine learning models for improved accessibility and usability.

2024 - 2024

AI Text Evaluation & SRT Halo

CrowdsourceTextTranslation LocalizationEvaluation Rating

As a Text Evaluator for AI projects, I assessed AI-generated text responses to improve the accuracy, coherence, and relevance of Large Language Models (LLMs). My role involved reviewing chatbot interactions, ensuring that AI-generated outputs align with linguistic and contextual guidelines. In the SRT Halo project, I contributed to refining AI-driven text models by analyzing, rating, and rewriting AI-generated responses for improved natural language understanding. I provided detailed feedback to enhance machine learning algorithms, helping optimize AI-generated content for better user interactions.

As a Text Evaluator for AI projects, I assessed AI-generated text responses to improve the accuracy, coherence, and relevance of Large Language Models (LLMs). My role involved reviewing chatbot interactions, ensuring that AI-generated outputs align with linguistic and contextual guidelines. In the SRT Halo project, I contributed to refining AI-driven text models by analyzing, rating, and rewriting AI-generated responses for improved natural language understanding. I provided detailed feedback to enhance machine learning algorithms, helping optimize AI-generated content for better user interactions.

2024 - 2024

AI Data Labeling & Quality Assurance

OtherDocumentAudio Recording

As a Data Annotator and QA Specialist, I worked on labeling and categorizing diverse datasets, including text, image, and audio data, to train AI models across various applications. My role involved ensuring the accuracy and consistency of labeled data, which is essential for optimizing machine learning algorithms. Key Responsibilities: Annotating and labeling text, speech, and image data for AI model training. Performing quality assurance (QA) checks to ensure data accuracy and adherence to guidelines. Refining annotation guidelines by providing feedback to improve consistency and efficiency.

As a Data Annotator and QA Specialist, I worked on labeling and categorizing diverse datasets, including text, image, and audio data, to train AI models across various applications. My role involved ensuring the accuracy and consistency of labeled data, which is essential for optimizing machine learning algorithms. Key Responsibilities: Annotating and labeling text, speech, and image data for AI model training. Performing quality assurance (QA) checks to ensure data accuracy and adherence to guidelines. Refining annotation guidelines by providing feedback to improve consistency and efficiency.

2022 - 2024

Education

Work History